Lexical representation explains cortical entrainment during speech comprehension
This work addresses a problem in cognitive neuroscience by providing an alternative explanation for brain activity patterns during speech comprehension, which is incremental as it reinterprets existing data without new experimental findings.
The study tackled the interpretation of cortical entrainment in speech comprehension by showing that a simple lexical-level model predicts neuroimaging data, challenging the need for hierarchical syntactic explanations. The result indicates that lexical properties alone can account for the observed power spectra, without requiring higher-level linguistic units.
Results from a recent neuroimaging study on spoken sentence comprehension have been interpreted as evidence for cortical entrainment to hierarchical syntactic structure. We present a simple computational model that predicts the power spectra from this study, even though the model's linguistic knowledge is restricted to the lexical level, and word-level representations are not combined into higher-level units (phrases or sentences). Hence, the cortical entrainment results can also be explained from the lexical properties of the stimuli, without recourse to hierarchical syntax.